Kali Linux

Graphw00F : GraphQL fingerprinting tool for GQL endpoints

Graphw00F (inspired by wafw00f) is the GraphQL fingerprinting tool for GQL endpoints, it sends a mix of benign and malformed queries to determine the GraphQL engine running behind the scenes. graphw00f will provide insights into what security defences each technology provides out of the box, and whether they are on or off by default.

Specially crafted queries cause different GraphQL server implementations to respond uniquely to queries, mutations and subscriptions, this makes it trivial to fingerprint the backend engine and distinguish between the various GraphQL implementations. (CWE: CWE-200)

Detections

graphw00f currently attempts to discover the following GraphQL engines:

  • Graphene – Python
  • Ariadne – Python
  • Apollo – TypeScript
  • graphql-go – Go
  • gqlgen – Go
  • WPGraphQL – PHP
  • GraphQL API for WordPress – PHP
  • Ruby – GraphQL
  • graphql-php – PHP
  • Hasura – Haskell
  • HyperGraphQL – Java
  • graphql-java – Java
  • Juniper – Rust
  • Sangria – Scala
  • Flutter – Dart
  • Diana.jl – Julia
  • Strawberry – Python
  • Tartiflette – Python

GraphQL Technologies Defence Matrices

Each fingerprinted technology (e.g. Graphene, Ariadne, …) has an associated document (example for graphene) which covers the security defence mechanisms the specific technology supports to give a better idea how the implementation may be attacked.

Field SuggestionsQuery Depth LimitQuery Cost AnalysisAutomatic Persisted QueriesIntrospectionDebug ModeBatch Requests
On by DefaultNo SupportNo SupportNo SupportEnabled by DefaultN/AOff by Default

Prerequisites

  • python3
  • requests

Installation

Clone Repository

git clone git@github.com:dolevf/graphw00f.git

Run graphw00f

python3 main.py -h

Usage: main.py -h
Options:
-h, –help show this help message and exit
-r, –noredirect Do not follow redirections given by 3xx responses
-t URL, –target=URL target url with the path
-o OUTPUT_FILE, –output-file=OUTPUT_FILE
Output results to a file (CSV)

-l, –list List all GraphQL technologies graphw00f is able to
detect
-v, –version Print out the current version and exit.

Example

python3 main.py -t http://127.0.0.1:5000/graphql
+——————-+
| graphw00f |
+——————-+
*** ***
** ***
** **
+————–+ +————–+
| Node X | | Node Y |
+————–+ +————–+
*** ***
** **
** **
+————+
| Node Z |
+————+
graphw00f – v1.0.0
The fingerprinting tool for GraphQL
[] Checking if GraphQL is available at https://demo.hypergraphql.org:8484/graphql… [] Found GraphQL…
[] Attempting to fingerprint… [] Discovered GraphQL Engine: (HyperGraphQL)
[!] Attack Surface Matrix: https://github.com/dolevf/graphw00f/blob/main/docs/hypergraphql.md
[!] Technologies: Java
[!] Homepage: https://www.hypergraphql.org
[*] Completed.

R K

Recent Posts

Install Pip on Ubuntu 18.04: Python 3 and Python 2 Setup Guide

Pip is the official package manager for Python and the standard way to install libraries from…

2 days ago

Install R on Ubuntu 18.04 from CRAN: Statistical Computing Setup

R is an open-source programming language and environment built for statistical computing and data visualization. It…

2 days ago

Install Jenkins on Ubuntu 18.04: CI/CD Server Setup Guide

Jenkins is an open-source automation server that makes it easy to build CI/CD pipelines. Continuous integration…

2 days ago

Install Android Studio on Ubuntu 18.04 with Snap and OpenJDK 8

Android Studio is the official IDE for Android development, built on JetBrains' IntelliJ IDEA platform. It…

2 days ago

Install and Configure GitLab on Ubuntu 18.04 with Omnibus

GitLab is a web-based, open-source Git repository manager written in Ruby. It includes built-in tools for…

2 days ago

Install Anaconda on Ubuntu 18.04: Python Data Science Setup Guide

Anaconda is the most widely used Python distribution for data science and machine learning. It bundles…

3 days ago